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InfoSphere User Group France MDM v11.3 New Features 
Aomar BARIZ Information Governance Client Technical Professional Mobile:+33 6 73 48 40 72 E-mail: Aomar.Bariz@fr.ibm.com
InfoSphere MDM – Release Timeline 
eGA: June 2013 
Target eGA: Q4 2014 
eGA: Oct. 2013 
This Release Target eGA: June 27, 2014 
v11.0 
refresh 
vNext 
v11.0 
V11.3 
•Continued Integration of Development organization (all MDM Flavors) 
•Simultaneous delivery of all supported platforms 
•Simultaneous release with a number of InfoSphere offerings (incl. Information Server) 
2
•InfoSphere MDM probabilistic matching engine for BigInsights: Enhances bulk search and performance for BigInsights matching. 
•Salesforce.com integration: Improves Salesforce.com experience by leveraging InfoSphere MDM for search, remediation, and integration with external data. Invokes virtual MDM. 
•IBM Health Care Provider data warehouse: Enables patient-centric analytics by pushing a 360-degree view of the patient into the warehouse. 
•Clinical data services: Integrate patient clinical data for research, care coordination, and wellness initiatives. 
•Application-based licensing: Offers new licensing and pricing options when acquiring MDM in support of other IBM products. 
•InfoSphere DataStage integration: Reduces implementation time and cost by speeding and simplifying integration development both for initial load and ongoing production integration. 
MDM Industry /LOB Solutions 
•Collaboration Server free text search: Improves user experience with a more intuitive search facility powered by IBM Watson Explorer. 
•Virtual MDM performance: Enhances control of record linking to reduce the risk of system performance issues. 
Core MDM Enhancements 
Overview of Key InfoSphere MDM v11.3 Features 
MDM for Big Data 
IIG Portfolio Integration 
3
InfoSphere MDM v11.3 (Bali) Collaborative MDM Free Text Search with Watson Explorer 
4
Positioning – Free Text Search with Watson Explorer 
5 
What are the business or technical benefits of solving this problem(s)? 
What problem(s) and for whom (role, industry) does this capability solve? 
How is this capability different in solving this problem than competitive offerings? 
How does this capability solve this problem(s)? 
•Searching PIM systems is not intuitive and often requires training 
•Search performance becomes an issue when dealing with large volumes 
•Providing external access to PIM data is complex and costly 
•All roles across all industries are impacted: 
•Analysts, Admins, Stewards, Executives, etc 
•Retail, Banking, Industrial, Telco, All 
•Intuitive access to data with Google-like capabilities 
•Improved search performance with larger volumes 
•Externalize search and access outside of the PIM system 
•Data is pushed to Watson Explorer and indexed for high performance 
•New static search bar on every screen allows users to search by key words and phrases 
•Results page allows for opening a single record or multiple records for mass edit 
•Competitors are not currently offering a free text search capability 
•Watson search leverages best in class Big Data capabilities for high performance 
•Only offering to provide a true web experience for search.
Free Text Search powered by Watson Explorer 
6
Search Results 
Open for single edit or select multiple for bulk edit 
7
Type Ahead
Spelling correction
Search can be externalized for Enterprise access 
Search directly on Watson Explorer 
10
Capabilities 
Enable or disable through configuration file 
Static search bar on every screen 
Search examples 
–Term 
–Term1 OR Term2 
–Term1 AND Term2 (Term1 Term2 also works) 
–Catalog:CatalogName Term 
–Combine the above for complex searches 
Search across specific catalogs 
Launch in single edit or bulk edit 
Limited use license of Watson Explorer included in the v11.3 bundle 
11
InfoSphere MDM v11.3 (“Bali”) Big Match 
12
Matching Approaches 
Deterministic Rules-based fuzzy matching 
Apply logical rules sequentially or hierarchically 
Deterministic Rules-based exact matching 
Deterministic Scoring-based matching 
Probabilistic Self-learning algorithms 
Compare records attribute by attribute. 
Assign a score for each attribute match. 
If the total score is high enough, they match. 
How do you decide how much a partial date match should be worth? An edit distance of 2? A nickname match? 
Account for misspellings and typographical errors 
Metaphone 
Edit distance 
The algorithm learns how to score attributes from the data itself 
How common are partial date matches within your data? 
How common are nicknames? 
Tuned to your data 
Big Data needs more sophisticated capability 
13
Using out of the box fuzzy functions to enable accurate data searching/matching in your Hadoop environment 
Nov 6, 
Phonetics Mohammed vs. Mahmoud 
Synonyms Andrew = Andy George = Jorge 1st = First 
Abbreviations AIG = American International Group Road = Rd 
Concatenation Van de Velde = Vandevelde 
Misalignment Kim Jung-il = Kim il Jung 
Edit Distance 867-5309 ~ 876- 5309 
Region Specific トヨダ = トヨタ株式会社 
Date Similarity 01/01/1973 ~ 01/03/1973 
Proximity Geocodes and great-circle distance 
Noise Words Roadster Inc. = Roadster 
Typographical Errors John Smith vs. John Snith 
14
C. Johnson 123 Main Street 512-545-1234 
CRM 
Supply Chain 
Fulfillment 
Support Ticketing 
External Sources 
3rd Party 
Chris Johnston 123 Main Street 512-554-1234 Shipping: 456 Pine Ave 
Christine. Johnson 123 Main Street Call length Semi-structured notes Satisfaction 
C. Johnson Main Street 512-554-1234 
C. Johnson 125 Main Street 512-554-1234 
ChrisJohnson65 “Likes” Clothes, Camping Gear 
@ChristyJohnson65 
Christy65 Circle / Network data 
Order Mgmt. 
Internal / Structured 
External / Unstructured 
Web 
Chris.johnson@cj.net 
Big Match empowers customer analytics at Hadoop scale 
Big Match matches all these records 
Big Match combines the MDM probabilistic matching engine & pre-built algorithms & BigInsights for customer matching natively within Hadoop 
Increased Value of Customer only if… 
Christine Johnson Married 1 child 4/15/74 
Christy65 Mail Order responder Specialty Apparel Partner Sales data 
VIP: Gold Customer Sat: 80% Influence Score: 8/10 
15
What is Big Match 
Big Match allows you to run the MDM probabilistic matching engine natively within IBM’s open source Hadoop distribution (Infosphere BigInsights) 
Your clients are implementing customer analytics projects using Hadoop today 
Use Big Match to differentiate the IBM stack – no other vendor has it 
Infosphere Master Data Management (Advanced Edition, Standard Edition, Collaborative Edition) 
16
Big Match as a foundation of your customer analytics in Hadoop 
Accurate – Matches via statistical learning algorithms based on your data (customer see improvements between 5-15%) 
Simple & Fast Time to Value - Hours to use configurable pre-built customer algorithms, instead of weeks or months of developing code 
Performance - Hours to match initial data sets of big data volumes via use of MapReduce distributed processing 
Proven - Leverages the experience of over 10 years and 900 customers across worldwide deployments dealing with individuals and organizations 
Is your client using Hadoop within customer analytics? Then they need Big Match 
17
InfoSphere MDM v11.3 (Bali) IBM Stewardship Center for - Physical MDM, Individual Domain
Three takeaways 
1.Deliver a differentiating, prescriptive user experience for LOB users 
WHY? 
1.LOB users need to explore and discover how master data can help their business 
2.Knowledgeable LOB users make the most informed data quality decisions & their involvement increases their confidence in master data 
20 
Stewardship Center is a physical MDM application for LOB users and stewards
Positioning – IBM Stewardship Center 
21 
What are the business or technical benefits of solving this problem(s)? 
What problem(s) and for whom (role, industry) does this capability solve? 
How is this capability different in solving this problem than competitive offerings? 
How does this capability solve this problem(s)? 
•Data quality decisions are low quality because they do not include LOB user insight 
•LOB users do not trust master data because they struggle to understand how their system’s data contributes to the golden record 
•Stewardship managers struggle to show their team’s value & contribution to the business 
•All roles across all industries are impacted: 
•Analysts, Admins, Stewards, etc 
•Retail, Banking, Industrial, Telco, All 
•LOB discovers MDM value by browsing and investigating MDM, gaining new insights 
•If issues are identified, LOB users can make master data updates directly 
•Direct data quality decisions to the right LOB users at the right time 
•Stewardship dashboard enables stewardship managers to demonstrate efficacy and make informed decisions to improve team performance 
•IBM Design Thinking brings the prescriptive UX necessary to leverage knowledge workers 
•Enable data quality users to collaborate using social and mobile features 
•Business rules tailor which user is assigned a given task based on task type and entity segment 
•The dashboard displays task breakdown and team/individual performance by reporting from the Stewardship Center’s data warehouse 
•Prescriptive OOTB UX allows Stewards and LOB users to commune on data quality decisions using social collaboration and mobile 
•Keep the business connected to master data with mobile stewardship, approval, & notifications 
•Dashboard allows for the quick assessment the data quality metrics, team monitoring and rerouting 
•Intelligent Inbox prioritizes work w/ auto-escalation 
•Quickly extend or customize the Stewardship Center’s WF or UI using MDM AT & IBM BPM 
•Options for Cloud deployment
22 
LOB Knowledge Workers 
LOB Owners & Governance Team 
IT Stewards 
Web 
Mobile 
Social Collaboration 
Data Quality Application 
Business Processes 
Analytics 
Stewardship Center 
Customer Centricity 
Know Your Customer 
Operational Excellence 
Dashboard 
Workflow & Rules 
Comprehensive data quality application delivering business confidence
Capabilities needed to deliver data quality to the business? 
Ensure most knowledgeable LOB users contribute in quality decisions 
Provide LOB users business context and prescriptive experience 
Align stewards and LOB users to efficiently remediate data quality tasks 
Include the right participant at the right time within the data quality process 
Ensure task ownership and accountability with traceability 
Demonstrate team performance and provide management insight 
23
Stewardship Center keeps the business connected to master data, driving ownership 
LOB users 
Explore, learn, and discover master data 
–Discover relationships 
–Data quality root cause analysis, take corrective action 
–Master data survivorship 
–Review/approval and notifications for critical data issues 
–Stay connected with mobile stewardship 
–Only view appropriate information 
24
Stewardship Center increases data quality through LOB user and steward collaboration 
Stewards and LOB user 
Cross team connectedness with social collaboration 
Data quality workflow assigns tasks to the right user at the right time 
Automate common decisions reduce time and cost of human involvement 
Increase throughput by including LOB users while infusing business knowledge into DQ decisions 
Increase business confidence and ownership of master data 
Prescriptive business tools for data maintenance and matching records 
25
Stewardship Center provides visibility and insight to ensure effective team performance 
Data Steward Manager 
Dashboard optimized for data steward manager activities 
Quickly assess areas of risk and take corrective action 
Identify active stewards and commune 
Track at risk/high priority tasks for better team mgmt and resource loading 
Identify data quality trend/bottlenecks and make informed improvements 
Ensure task ownership and accountability along with traceability 
26
Complete task visibility 
Identify data quality trends 
View team and status 
Commune with team 
View team’s tasks and manage 
Data Steward Management Dashboard 
27
InfoSphere MDM v11.3 (“Bali”) Powering Salesforce CRM Initiatives using InfoSphere MDM
All CEOs; n = 229 
Which technology-enabled capabilities will be an important area of investment to improve your business over the next five years? 
Source: Gartner Report - CRM in a Sea of Change 2013 
29 
Gartner Technology Investment Survey 2013
What are the primary objectives of your 2013 CRM programs? 
0 10 20 30 40 50 
Improve customer data quality 
Increase customer loyalty 
Improve lead quality and conversion 
Increase customer retention 
Create a single view of the customer 
Enhance cross-sell or upsell of products 
and services 
Increase customer satisfaction 
Increase sales revenue 
Increase acquisition of new customers 
Enhance customer experience 
Percentage of Respondents 
Revenue 
Information 
Loyalty/ 
Satisfaction 
Source: Gartner Report - CRM in a Sea of Change 2013 
n = 190 
Gartner CRM Survey 2013: Top 10 CRM Objectives in the U.S. 
30
Source: Aberdeen Group, July 2011 
A CRM assessment report published by Aberdeen in 2011 showed that Peak CRM Performance is directly related to the accuracy and availability of customer records 
n = 261 
Gartner believes that bad data quality is the #1 reason why CRM projects to fail 
Data Quality and Accessibility – by Best in Class 
31
CRM Magic Quadrant 
32
The Solution 
33
Customer Relationship Mgmt 
Improve win-rates & seller productivity 
Contact 
• Identify duplicate customer and prospect records & reduce duplication at the point of entry 
• Find the right customer faster by leveraging advanced search capabilities from MDM 
• Enrich customer data in Salesforce with collective knowledge from internal & external data sources 
• Identify relationships between customers/entities 
InfoSphere MDM can help organizations optimize client-focused 
initiatives by delivering a Single View of Customer 
34
An InfoSphere MDM powered Salesforce initiative can deliver real business benefits 
35
InfoSphere MDM – SFDC solution capabilities 
36 
InfoSphere MDM Powered Probabilistic Search 
Publish enriched master information from InfoSphere MDM to SFDC 
Event Notifications 
Search for Accounts from SFDC as well as from other sources 
Enrich Account information in SFDC by leveraging the broader enterprise master information in InfoSphere MDM 
Automatically receive MDM events in SFDC whenever a SFDC record gets added, updated or linked in MDM 
Enhanced Security using WebSphere Cast Iron 
Secure data and calls between InfoSphere MDM (on-premise) and SFDC (an external SaaS application) 
Perform Bulk data ops using InfoSphere Information Server (SF-Pack) 
Perform Bulk data movement from MDM to SFDC using Information Server (SFPack)
IBM MDM 
No Inbound No In-out bound 
IS-SP 
HTTPS 
JMS 
Queue 
HTTPS 
SSL 
Tunnel 
1 
2 
3 
1 
Real-time Sync 
2 
Near Real-time Sync with reliable 
queuing 
3 
Batch Import/Export using InfoSphere 
Server Pack (IS-SP) for SFDC 
Customer Firewall 
InfoSphere MDM-Salesforce Integration Architecture 
37
InfoSphere MDM v11.3 (Bali) InfoSphere MDM and Information Server Integration
User Technologies 
41 
An MDM Hub is only useful when integrated with the “Extended” enterprise. 
MDM projects require a high performance ETL solution for loading data into and extracting data from an MDM hub. 
The ETL solution should be integrated so as to hide the complexity of the underlying MDM data model and to make integration easy. 
IBM MDM by itself, not provide a fully integrated, end –to-end integration , quality and data governance for master data 
The bundled 3rd party Clover ETL is just a point solution for ETL 
Clover ETL is not integrated with other IBM IIS components 
MDM bundles only IIS for Data Quality 
IBM MDM by itself, does not provide end-to-end metadata management for MDM data 
Changes in the MDM model are not automatically shared across integration components and governance tools. 
MDM assets are not „natively‟ available to the Information Server Information Governance Catalog (IGC) 
The Problem? 
41
42 
IBM IIS Enterprise Edition bundled with IBM MDM (with license restrictions) providing end to end ETL, governance and data quality 
Out-of-the-box MDM Connector Stage within InfoSphere DataStage/QualityStage Designer that simplifies MDM load and extract for DS/QS developers 
InfoSphere MDM metadata in IIS drives automation and makes integration configurable so very little development is required for MDM data load and/or extract 
Enables configurable data integration for MDM 
Provides governance for the MDM information supply chain 
Provides design lineage through MDM metadata in IGC 
Clover ETL is removed from MDM V11.3 as a bundled component 
Customers can obtain licensing and support directly from Javelin in order to use existing Clover Graphs with MDM V11.3 
The Solution? 
42
User Technologies 
Build a MDM metadata model to describe assets in the IS repository Enables all tools in the suite, particularly IMAM, IGC, DataStage and DataClick to work with MDM assets 
Build export functions into the MDM workbench Allows individual MDM users to document and manage their projects metadata assets for use by IS repository 
Build a MDM Connector that can consume the MDM metadata and enable the memget and memput MDM interactions memget and memput interactions are broadly used to read and write data resp. Implement the MDM Connector over the Java Integration Stage Leverage the Parallel engine capability 
Bundle Information Server Enterprise Edition with MDM Limited license terms Gives MDM customers the relevant Information Server functions out-of-the-box 
How are we integrating? 
43
Metadata Admin 
DataStage/Quality Stage 
Job Developer 
XMeta 
(MDM, ASCL) 
MDM Developer 
MDM Workbench 
Exports the project metadata as XMI files for use by MDM Connector 
XMI Files 
SCM or DevOps Repository 
Import XMI files, analyze, preview and upload to Metadata Server 
IMAM Asset Manager 
[ MDM Design MetaData ] 
DataStage/ QualityStage Designer 
Configure MDM Stage with MDM Hub Connection and other settings 
Query MDM Model in XMeta 
MDM Model Bridge 
XMeta (DSX) 
Persist Stage configuration in DSX Model 
Compile, Deploy & Test Jobs 
[ Job MetaData ] 
MDM Connector Usage (Design time) 
45
Questions? 
46
47 
Notable: 
No support for Power Linux 
Windows only supported for Standard Edition 
WAS only (started previously) 
No FireFox support for Collaborative Edition 
Information Server v11.3 release has two delivery tiers (platforms) 
Latest information online – Refer to InfoSphere MDM System Requirements on ibm.com 
Component 
Flavor 
Version(s) 
Notes 
Operating System 
AIX (Power) 
Solaris (SPARC) 
Linux (RHEL) 
Linux (SLES) 
zLinux (RHEL) 
zLinux (SLES) 
Windows 
v6.1 and v7.1 
v10 
v6 
v11 
v6 
v11 
2008R2, 2012 
X86-64 only 
X86-64 only 
SE ONLY 
App Server 
WAS 
v8.5.5 
Database 
DB2 LUW 
DB2 for z/OS 
Oracle 
v10.1, v10.5 
v10.1, v11 
11g R2, 12c 
Web Browser 
IE 
FireFox 
9, 10 
ESR 24 
Not CE 
Other 
Information Server 
MQ 
BPM 
Portal Server 
v11.3 
v7.5 
v8.5.0.1 
V8.0.0.1 
Tiered Release 
InfoSphere MDM v11.3 – Supported Platforms
48 
Makes it easier for customers to deploy an MDM environment (e.g. Development) 
There should not be an expectation that all deployment scenarios are supported with the Supporting Programs … Additional licensing (e.g. RAD) is often required! 
Limitations/Restrictions: 
–Primary Limitation – Only when in support of InfoSphere MDM 
–See LI for others 
Important Note: The LIs for the Supporting Programs is also in effect 
Supporting Programs for InfoSphere MDM v11.3 
IBM Rational Application Developer for WebSphere Software v9.0 
IBM DB2 Enterprise Server Edition V10.5 
IBM Content Integrator 8.6 
IBM Cognos Business Intelligence V10.1.1 
IBM Cognos Business Intelligence Modeling v10.1.1 
IBM Cognos Business Intelligence Samples v10.1.1 
IBM Cognos Supplementary Language Documentation v10.1.1 
IBM Process Server Standard v8.5 
IBM Process Server Standard for Non-production Environment v8.5 
IBM Process Center Standard v8.5 
IBM Process Designer v8.5 
IBM InfoSphere Information Server Enterprise Edition v11.3 (for MDM Editions) 
IBM InfoSphere Information Server for Data Quality v11.3 (for RDM and CDH Stand-alone) 
IBM InfoSphere Data Explorer v9.0 
IBM InfoSphere BigInsights Standard Edition v2.1.2 
IBM InfoSphere Blueprint Director v2.2 
IBM WebSphere Message Broker v8.0.0.3 
IBM WebSphere Message Broker Connectivity for Healthcare v8.0 
IBM WebSphere Application Server Network Deployment V8.5.5 
IBM WebSphere Application Server Base 8.5.5 
IBM WebSphere MQ V7.5 
IBM WebSphere Portal Server 8.0.0.1 
IBM Installation Manager & IBM Packaging Utility for Rational Software Development Platform v1.7 
IBM Security Directory Server v6.3.1 
IBM Support Assistant Data Collector v2.0.1 
Supporting Programs – v11.3
Présentation IBM InfoSphere MDM 11.3

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Présentation IBM InfoSphere MDM 11.3

  • 1. InfoSphere User Group France MDM v11.3 New Features Aomar BARIZ Information Governance Client Technical Professional Mobile:+33 6 73 48 40 72 E-mail: Aomar.Bariz@fr.ibm.com
  • 2. InfoSphere MDM – Release Timeline eGA: June 2013 Target eGA: Q4 2014 eGA: Oct. 2013 This Release Target eGA: June 27, 2014 v11.0 refresh vNext v11.0 V11.3 •Continued Integration of Development organization (all MDM Flavors) •Simultaneous delivery of all supported platforms •Simultaneous release with a number of InfoSphere offerings (incl. Information Server) 2
  • 3. •InfoSphere MDM probabilistic matching engine for BigInsights: Enhances bulk search and performance for BigInsights matching. •Salesforce.com integration: Improves Salesforce.com experience by leveraging InfoSphere MDM for search, remediation, and integration with external data. Invokes virtual MDM. •IBM Health Care Provider data warehouse: Enables patient-centric analytics by pushing a 360-degree view of the patient into the warehouse. •Clinical data services: Integrate patient clinical data for research, care coordination, and wellness initiatives. •Application-based licensing: Offers new licensing and pricing options when acquiring MDM in support of other IBM products. •InfoSphere DataStage integration: Reduces implementation time and cost by speeding and simplifying integration development both for initial load and ongoing production integration. MDM Industry /LOB Solutions •Collaboration Server free text search: Improves user experience with a more intuitive search facility powered by IBM Watson Explorer. •Virtual MDM performance: Enhances control of record linking to reduce the risk of system performance issues. Core MDM Enhancements Overview of Key InfoSphere MDM v11.3 Features MDM for Big Data IIG Portfolio Integration 3
  • 4. InfoSphere MDM v11.3 (Bali) Collaborative MDM Free Text Search with Watson Explorer 4
  • 5. Positioning – Free Text Search with Watson Explorer 5 What are the business or technical benefits of solving this problem(s)? What problem(s) and for whom (role, industry) does this capability solve? How is this capability different in solving this problem than competitive offerings? How does this capability solve this problem(s)? •Searching PIM systems is not intuitive and often requires training •Search performance becomes an issue when dealing with large volumes •Providing external access to PIM data is complex and costly •All roles across all industries are impacted: •Analysts, Admins, Stewards, Executives, etc •Retail, Banking, Industrial, Telco, All •Intuitive access to data with Google-like capabilities •Improved search performance with larger volumes •Externalize search and access outside of the PIM system •Data is pushed to Watson Explorer and indexed for high performance •New static search bar on every screen allows users to search by key words and phrases •Results page allows for opening a single record or multiple records for mass edit •Competitors are not currently offering a free text search capability •Watson search leverages best in class Big Data capabilities for high performance •Only offering to provide a true web experience for search.
  • 6. Free Text Search powered by Watson Explorer 6
  • 7. Search Results Open for single edit or select multiple for bulk edit 7
  • 10. Search can be externalized for Enterprise access Search directly on Watson Explorer 10
  • 11. Capabilities Enable or disable through configuration file Static search bar on every screen Search examples –Term –Term1 OR Term2 –Term1 AND Term2 (Term1 Term2 also works) –Catalog:CatalogName Term –Combine the above for complex searches Search across specific catalogs Launch in single edit or bulk edit Limited use license of Watson Explorer included in the v11.3 bundle 11
  • 12. InfoSphere MDM v11.3 (“Bali”) Big Match 12
  • 13. Matching Approaches Deterministic Rules-based fuzzy matching Apply logical rules sequentially or hierarchically Deterministic Rules-based exact matching Deterministic Scoring-based matching Probabilistic Self-learning algorithms Compare records attribute by attribute. Assign a score for each attribute match. If the total score is high enough, they match. How do you decide how much a partial date match should be worth? An edit distance of 2? A nickname match? Account for misspellings and typographical errors Metaphone Edit distance The algorithm learns how to score attributes from the data itself How common are partial date matches within your data? How common are nicknames? Tuned to your data Big Data needs more sophisticated capability 13
  • 14. Using out of the box fuzzy functions to enable accurate data searching/matching in your Hadoop environment Nov 6, Phonetics Mohammed vs. Mahmoud Synonyms Andrew = Andy George = Jorge 1st = First Abbreviations AIG = American International Group Road = Rd Concatenation Van de Velde = Vandevelde Misalignment Kim Jung-il = Kim il Jung Edit Distance 867-5309 ~ 876- 5309 Region Specific トヨダ = トヨタ株式会社 Date Similarity 01/01/1973 ~ 01/03/1973 Proximity Geocodes and great-circle distance Noise Words Roadster Inc. = Roadster Typographical Errors John Smith vs. John Snith 14
  • 15. C. Johnson 123 Main Street 512-545-1234 CRM Supply Chain Fulfillment Support Ticketing External Sources 3rd Party Chris Johnston 123 Main Street 512-554-1234 Shipping: 456 Pine Ave Christine. Johnson 123 Main Street Call length Semi-structured notes Satisfaction C. Johnson Main Street 512-554-1234 C. Johnson 125 Main Street 512-554-1234 ChrisJohnson65 “Likes” Clothes, Camping Gear @ChristyJohnson65 Christy65 Circle / Network data Order Mgmt. Internal / Structured External / Unstructured Web Chris.johnson@cj.net Big Match empowers customer analytics at Hadoop scale Big Match matches all these records Big Match combines the MDM probabilistic matching engine & pre-built algorithms & BigInsights for customer matching natively within Hadoop Increased Value of Customer only if… Christine Johnson Married 1 child 4/15/74 Christy65 Mail Order responder Specialty Apparel Partner Sales data VIP: Gold Customer Sat: 80% Influence Score: 8/10 15
  • 16. What is Big Match Big Match allows you to run the MDM probabilistic matching engine natively within IBM’s open source Hadoop distribution (Infosphere BigInsights) Your clients are implementing customer analytics projects using Hadoop today Use Big Match to differentiate the IBM stack – no other vendor has it Infosphere Master Data Management (Advanced Edition, Standard Edition, Collaborative Edition) 16
  • 17. Big Match as a foundation of your customer analytics in Hadoop Accurate – Matches via statistical learning algorithms based on your data (customer see improvements between 5-15%) Simple & Fast Time to Value - Hours to use configurable pre-built customer algorithms, instead of weeks or months of developing code Performance - Hours to match initial data sets of big data volumes via use of MapReduce distributed processing Proven - Leverages the experience of over 10 years and 900 customers across worldwide deployments dealing with individuals and organizations Is your client using Hadoop within customer analytics? Then they need Big Match 17
  • 18. InfoSphere MDM v11.3 (Bali) IBM Stewardship Center for - Physical MDM, Individual Domain
  • 19. Three takeaways 1.Deliver a differentiating, prescriptive user experience for LOB users WHY? 1.LOB users need to explore and discover how master data can help their business 2.Knowledgeable LOB users make the most informed data quality decisions & their involvement increases their confidence in master data 20 Stewardship Center is a physical MDM application for LOB users and stewards
  • 20. Positioning – IBM Stewardship Center 21 What are the business or technical benefits of solving this problem(s)? What problem(s) and for whom (role, industry) does this capability solve? How is this capability different in solving this problem than competitive offerings? How does this capability solve this problem(s)? •Data quality decisions are low quality because they do not include LOB user insight •LOB users do not trust master data because they struggle to understand how their system’s data contributes to the golden record •Stewardship managers struggle to show their team’s value & contribution to the business •All roles across all industries are impacted: •Analysts, Admins, Stewards, etc •Retail, Banking, Industrial, Telco, All •LOB discovers MDM value by browsing and investigating MDM, gaining new insights •If issues are identified, LOB users can make master data updates directly •Direct data quality decisions to the right LOB users at the right time •Stewardship dashboard enables stewardship managers to demonstrate efficacy and make informed decisions to improve team performance •IBM Design Thinking brings the prescriptive UX necessary to leverage knowledge workers •Enable data quality users to collaborate using social and mobile features •Business rules tailor which user is assigned a given task based on task type and entity segment •The dashboard displays task breakdown and team/individual performance by reporting from the Stewardship Center’s data warehouse •Prescriptive OOTB UX allows Stewards and LOB users to commune on data quality decisions using social collaboration and mobile •Keep the business connected to master data with mobile stewardship, approval, & notifications •Dashboard allows for the quick assessment the data quality metrics, team monitoring and rerouting •Intelligent Inbox prioritizes work w/ auto-escalation •Quickly extend or customize the Stewardship Center’s WF or UI using MDM AT & IBM BPM •Options for Cloud deployment
  • 21. 22 LOB Knowledge Workers LOB Owners & Governance Team IT Stewards Web Mobile Social Collaboration Data Quality Application Business Processes Analytics Stewardship Center Customer Centricity Know Your Customer Operational Excellence Dashboard Workflow & Rules Comprehensive data quality application delivering business confidence
  • 22. Capabilities needed to deliver data quality to the business? Ensure most knowledgeable LOB users contribute in quality decisions Provide LOB users business context and prescriptive experience Align stewards and LOB users to efficiently remediate data quality tasks Include the right participant at the right time within the data quality process Ensure task ownership and accountability with traceability Demonstrate team performance and provide management insight 23
  • 23. Stewardship Center keeps the business connected to master data, driving ownership LOB users Explore, learn, and discover master data –Discover relationships –Data quality root cause analysis, take corrective action –Master data survivorship –Review/approval and notifications for critical data issues –Stay connected with mobile stewardship –Only view appropriate information 24
  • 24. Stewardship Center increases data quality through LOB user and steward collaboration Stewards and LOB user Cross team connectedness with social collaboration Data quality workflow assigns tasks to the right user at the right time Automate common decisions reduce time and cost of human involvement Increase throughput by including LOB users while infusing business knowledge into DQ decisions Increase business confidence and ownership of master data Prescriptive business tools for data maintenance and matching records 25
  • 25. Stewardship Center provides visibility and insight to ensure effective team performance Data Steward Manager Dashboard optimized for data steward manager activities Quickly assess areas of risk and take corrective action Identify active stewards and commune Track at risk/high priority tasks for better team mgmt and resource loading Identify data quality trend/bottlenecks and make informed improvements Ensure task ownership and accountability along with traceability 26
  • 26. Complete task visibility Identify data quality trends View team and status Commune with team View team’s tasks and manage Data Steward Management Dashboard 27
  • 27. InfoSphere MDM v11.3 (“Bali”) Powering Salesforce CRM Initiatives using InfoSphere MDM
  • 28. All CEOs; n = 229 Which technology-enabled capabilities will be an important area of investment to improve your business over the next five years? Source: Gartner Report - CRM in a Sea of Change 2013 29 Gartner Technology Investment Survey 2013
  • 29. What are the primary objectives of your 2013 CRM programs? 0 10 20 30 40 50 Improve customer data quality Increase customer loyalty Improve lead quality and conversion Increase customer retention Create a single view of the customer Enhance cross-sell or upsell of products and services Increase customer satisfaction Increase sales revenue Increase acquisition of new customers Enhance customer experience Percentage of Respondents Revenue Information Loyalty/ Satisfaction Source: Gartner Report - CRM in a Sea of Change 2013 n = 190 Gartner CRM Survey 2013: Top 10 CRM Objectives in the U.S. 30
  • 30. Source: Aberdeen Group, July 2011 A CRM assessment report published by Aberdeen in 2011 showed that Peak CRM Performance is directly related to the accuracy and availability of customer records n = 261 Gartner believes that bad data quality is the #1 reason why CRM projects to fail Data Quality and Accessibility – by Best in Class 31
  • 33. Customer Relationship Mgmt Improve win-rates & seller productivity Contact • Identify duplicate customer and prospect records & reduce duplication at the point of entry • Find the right customer faster by leveraging advanced search capabilities from MDM • Enrich customer data in Salesforce with collective knowledge from internal & external data sources • Identify relationships between customers/entities InfoSphere MDM can help organizations optimize client-focused initiatives by delivering a Single View of Customer 34
  • 34. An InfoSphere MDM powered Salesforce initiative can deliver real business benefits 35
  • 35. InfoSphere MDM – SFDC solution capabilities 36 InfoSphere MDM Powered Probabilistic Search Publish enriched master information from InfoSphere MDM to SFDC Event Notifications Search for Accounts from SFDC as well as from other sources Enrich Account information in SFDC by leveraging the broader enterprise master information in InfoSphere MDM Automatically receive MDM events in SFDC whenever a SFDC record gets added, updated or linked in MDM Enhanced Security using WebSphere Cast Iron Secure data and calls between InfoSphere MDM (on-premise) and SFDC (an external SaaS application) Perform Bulk data ops using InfoSphere Information Server (SF-Pack) Perform Bulk data movement from MDM to SFDC using Information Server (SFPack)
  • 36. IBM MDM No Inbound No In-out bound IS-SP HTTPS JMS Queue HTTPS SSL Tunnel 1 2 3 1 Real-time Sync 2 Near Real-time Sync with reliable queuing 3 Batch Import/Export using InfoSphere Server Pack (IS-SP) for SFDC Customer Firewall InfoSphere MDM-Salesforce Integration Architecture 37
  • 37. InfoSphere MDM v11.3 (Bali) InfoSphere MDM and Information Server Integration
  • 38. User Technologies 41 An MDM Hub is only useful when integrated with the “Extended” enterprise. MDM projects require a high performance ETL solution for loading data into and extracting data from an MDM hub. The ETL solution should be integrated so as to hide the complexity of the underlying MDM data model and to make integration easy. IBM MDM by itself, not provide a fully integrated, end –to-end integration , quality and data governance for master data The bundled 3rd party Clover ETL is just a point solution for ETL Clover ETL is not integrated with other IBM IIS components MDM bundles only IIS for Data Quality IBM MDM by itself, does not provide end-to-end metadata management for MDM data Changes in the MDM model are not automatically shared across integration components and governance tools. MDM assets are not „natively‟ available to the Information Server Information Governance Catalog (IGC) The Problem? 41
  • 39. 42 IBM IIS Enterprise Edition bundled with IBM MDM (with license restrictions) providing end to end ETL, governance and data quality Out-of-the-box MDM Connector Stage within InfoSphere DataStage/QualityStage Designer that simplifies MDM load and extract for DS/QS developers InfoSphere MDM metadata in IIS drives automation and makes integration configurable so very little development is required for MDM data load and/or extract Enables configurable data integration for MDM Provides governance for the MDM information supply chain Provides design lineage through MDM metadata in IGC Clover ETL is removed from MDM V11.3 as a bundled component Customers can obtain licensing and support directly from Javelin in order to use existing Clover Graphs with MDM V11.3 The Solution? 42
  • 40. User Technologies Build a MDM metadata model to describe assets in the IS repository Enables all tools in the suite, particularly IMAM, IGC, DataStage and DataClick to work with MDM assets Build export functions into the MDM workbench Allows individual MDM users to document and manage their projects metadata assets for use by IS repository Build a MDM Connector that can consume the MDM metadata and enable the memget and memput MDM interactions memget and memput interactions are broadly used to read and write data resp. Implement the MDM Connector over the Java Integration Stage Leverage the Parallel engine capability Bundle Information Server Enterprise Edition with MDM Limited license terms Gives MDM customers the relevant Information Server functions out-of-the-box How are we integrating? 43
  • 41. Metadata Admin DataStage/Quality Stage Job Developer XMeta (MDM, ASCL) MDM Developer MDM Workbench Exports the project metadata as XMI files for use by MDM Connector XMI Files SCM or DevOps Repository Import XMI files, analyze, preview and upload to Metadata Server IMAM Asset Manager [ MDM Design MetaData ] DataStage/ QualityStage Designer Configure MDM Stage with MDM Hub Connection and other settings Query MDM Model in XMeta MDM Model Bridge XMeta (DSX) Persist Stage configuration in DSX Model Compile, Deploy & Test Jobs [ Job MetaData ] MDM Connector Usage (Design time) 45
  • 43. 47 Notable: No support for Power Linux Windows only supported for Standard Edition WAS only (started previously) No FireFox support for Collaborative Edition Information Server v11.3 release has two delivery tiers (platforms) Latest information online – Refer to InfoSphere MDM System Requirements on ibm.com Component Flavor Version(s) Notes Operating System AIX (Power) Solaris (SPARC) Linux (RHEL) Linux (SLES) zLinux (RHEL) zLinux (SLES) Windows v6.1 and v7.1 v10 v6 v11 v6 v11 2008R2, 2012 X86-64 only X86-64 only SE ONLY App Server WAS v8.5.5 Database DB2 LUW DB2 for z/OS Oracle v10.1, v10.5 v10.1, v11 11g R2, 12c Web Browser IE FireFox 9, 10 ESR 24 Not CE Other Information Server MQ BPM Portal Server v11.3 v7.5 v8.5.0.1 V8.0.0.1 Tiered Release InfoSphere MDM v11.3 – Supported Platforms
  • 44. 48 Makes it easier for customers to deploy an MDM environment (e.g. Development) There should not be an expectation that all deployment scenarios are supported with the Supporting Programs … Additional licensing (e.g. RAD) is often required! Limitations/Restrictions: –Primary Limitation – Only when in support of InfoSphere MDM –See LI for others Important Note: The LIs for the Supporting Programs is also in effect Supporting Programs for InfoSphere MDM v11.3 IBM Rational Application Developer for WebSphere Software v9.0 IBM DB2 Enterprise Server Edition V10.5 IBM Content Integrator 8.6 IBM Cognos Business Intelligence V10.1.1 IBM Cognos Business Intelligence Modeling v10.1.1 IBM Cognos Business Intelligence Samples v10.1.1 IBM Cognos Supplementary Language Documentation v10.1.1 IBM Process Server Standard v8.5 IBM Process Server Standard for Non-production Environment v8.5 IBM Process Center Standard v8.5 IBM Process Designer v8.5 IBM InfoSphere Information Server Enterprise Edition v11.3 (for MDM Editions) IBM InfoSphere Information Server for Data Quality v11.3 (for RDM and CDH Stand-alone) IBM InfoSphere Data Explorer v9.0 IBM InfoSphere BigInsights Standard Edition v2.1.2 IBM InfoSphere Blueprint Director v2.2 IBM WebSphere Message Broker v8.0.0.3 IBM WebSphere Message Broker Connectivity for Healthcare v8.0 IBM WebSphere Application Server Network Deployment V8.5.5 IBM WebSphere Application Server Base 8.5.5 IBM WebSphere MQ V7.5 IBM WebSphere Portal Server 8.0.0.1 IBM Installation Manager & IBM Packaging Utility for Rational Software Development Platform v1.7 IBM Security Directory Server v6.3.1 IBM Support Assistant Data Collector v2.0.1 Supporting Programs – v11.3